AIStor S3 Express is a high-performance object storage API designed for demanding data lakehouse workloads. Benchmarks show it outperforming AWS S3 Express on LIST operations and large object GETs.
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The Model Context Protocol (MCP) from Anthropic represents a unique approach to Agentic AI tooling as compared to many of its competitors. Rather than building a framework (software that calls your code) or a library (software that your code can call), MCP focuses on the protocol needed for different parts of an agent to communicate with each other. This has
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Built a portable Java data pipeline using MinIO's AIStor and Kafka that scales from Mac to Kubernetes. Containerized stack (Kafka, AIStor, Prometheus, Grafana) processes millions of events, preserving raw data for analysis while delivering real-time dashboard summaries.
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In data engineering, open standards are foundational for building interoperable, evolvable, and non-proprietary systems. Apache Iceberg, an open table format, is a prime example. Along with compute, Iceberg brings structure and reliability to data lakes. When coupled with high-performance object storage like MinIO AIStor, Iceberg unlocks new avenues for creating next-generation, high-performance, cost-effective, and scalable architectures. However, this powerful table
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This post first appeared on The New Stack on April 18th, 2025. Get a comprehensive summary of the major compute, networking, storage and partnership announcements from NVIDIA’s biggest event of the year. If you follow the tech news, you have read a lot about NVIDIA and its graphics processing units (GPUs). However, it would be incorrect to conclude that
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Apache Iceberg has significantly reshaped how organizations manage and interact with massive structured analytical datasets inside object storage. It brings database-like reliability and powerful features such as ACID transactions, schema evolution, and time travel. Although these features are commonly emphasized, the Iceberg Catalog API is what makes these tables accessible. The Iceberg Catalog API is a centralized interface for managing
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Creating a framework for high-performance, cloud-native object storage is mission-critical in the modern enterprise. Take a look at The Buyer’s Guide to Software Defined #ObjectStorage to understand the key capabilities.
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In the previous blog posts of this series, we discussed the user-level and admin-level functions of the Model Context Protocol (MCP) server for MinIO AIStor. In the first blog, we learned how to review the bucket’s contents, analyze objects, and tag them for future processing. In the second blog, we also learned how to use admin commands and get
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Cloud lakehouses break the bank at scale and compromise control. On-prem Iceberg lakehouses deliver speed, savings, and sovereignty. From cancer research to finance, real-world deployments prove it: petabyte-scale performance, full control, and lower TCO are within reach.
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In the previous blog of this series, we discussed the basic user-level functions of the Model Context Protocol (MCP) server for MinIO AIStor. We learned how to review a bucket’s contents, analyze objects, and tag them for future processing using human-language commands and simply chatting with the cluster via an LLM such as Anthropic Claude. In this blog, we’
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GenAI is entering the agentic phase, with software agents collaborating with humans and other agents to reason and achieve complex goals. Agents are already demonstrating incredible intelligence and are very helpful with question answering, but as with humans, they need the ability to discover and access software applications and other services to actually perform useful work. The creators of such
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Want real-time analytics and blazing-fast performance? Learn how to build a high-speed, on-prem pipeline with Materialize and MinIO AIStor—faster than S3, high thoughput, and built for AI. Includes a full tutorial to get you up and running locally.
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Tl;dr: We train a small LLM to become good at reasoning with reinforcement learning (similar to the process that led to Deepseek R1) all against AIStor AIHub, an on-premises model repository. Based on the great GRPO demo by will brown. Motivation: A growing requirement for teams is the need for an organized, secure, "single source of truth"
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In today’s AI-driven enterprise landscape, resource optimization has evolved from a desirable goal into an operational imperative. As organizations scale their artificial intelligence initiatives to meet rising demands for innovation, the efficient orchestration of compute resources directly shapes operational performance and model precision. The forthcoming integration of NVIDIA GPUDirect Storage (GDS) with MinIO AIStor is a co-engineered solution slated
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The Arm architecture is revolutionizing the hyperscale cloud, propelled by its Total Cost of Ownership (TCO) advantages—lower power consumption and reduced cooling requirements—that enable sustainable, high-performance computing at scale. Industry leaders like AWS, Azure, and GCP are embracing Arm to drive their latest compute instances for AI training, harnessing its efficiency to meet the demands of data-intensive workloads.
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Building upon AIStor's robust AI capabilities, MinIO's PromptObject has been enabling users to interact with their data through natural language queries as described here. PromptObject transforms how users interact with stored objects by allowing them to ask questions about their data's content and extract information using natural language—eliminating the need to write complex
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Modern enterprises seeking to leverage AI capabilities often face a significant hurdle: the complex deployment and management of GPU infrastructure in their Kubernetes environments. MinIO's AIStor addresses this challenge head-on by integrating the NVIDIA GPU Operator, revolutionizing how organizations deploy and manage GPU resources for AI workloads. Through automated GPU setup, driver management, and resource optimization, this integration
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MinLZ is a compression algorithm developed by MinIO. The main goal is to provide a format that offers the best-in-class compression while providing very fast decompression even with modest hardware.
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MLflow Model Registry allows you to manage models that are destined for a production environment. This post picks up where my last post on MLflow Tracking left off. In my Tracking post I showed how to log parameters, metrics, artifacts, and models. If you have not read it, then give it a read when you get a chance. In this
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A cybersecurity firm faced soaring cloud costs and performance bottlenecks with AWS S3 as their log data grew to a multi-exabyte scale. They adopted MinIO AIStor for high-performance, S3-compatible object storage, cutting costs and boosting efficiency.
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